Ekimetrics is a leader in data science and AI-powered solutions. For over 16 years, we’ve pioneered the use of AI and advanced data science applied to unified marketing measurement, holistic business optimization, and broad-ranging sustainability goals.

Our goal: Combine high-impact solutions with long-term sustainable business purposes.

Ekimetrics has been awarded the ‘Best Companies to Work for in Asia 2023’ award!

Ekimetrics is one of the world’s largest independent analytics firms with offices on 3 continents, and more than 400 data experts. Since 2006, we have led more than a thousand data science projects in over 50 countries, generating more than €1bn in profit for our customers.

Our difference lies in an integrated approach to performance, and in the desire to reaffirm the value of understanding the business model, which we believe is at the heart of transforming data into new business assets. These sentiments are supported by our company values which serve as pillars in our work and attitude: Curiosity, Creativity, Excellence, Transmission, and Pleasure.

Data engineering @ Ekimetrics

With our expertise in Data Science & Engineering, we support our clients in their Data Transformation journey so that they can successfully implement ambitious data-driven initiatives.

We advise our clients in the choice of the most appropriate technology as well as in the implementation of robust and scalable Data Architectures.

Our mission is also to support projects in Business Intelligence, advanced analytics & data science use case industrialization.

Role and Responsibilities:

·     As a data engineer, you will be responsible for the delivery of various data analytics solutions and advanced analytics projects for clients.

·     Designing and delivering solutions utilizing cloud-based data and analytics platforms – Azure, AWS, GCP, or Alibaba.

·     Designing and developing highly scalable data analytics platforms, distributed systems and automated data integration pipelines

·     Responsible for evaluating and recommending technical solutions, including software tools and technologies; design and develop architecture recommending the most ideal solution for implementing advanced analytics.

·     Work out the conceptual model, data model and perform information gathering, and data aggregation as to support analytics and data science use cases.

·     Coordinate with different client teams and internal teams to complete analytics and data science use cases

The Profile:

·     We are looking for a Bachelor or Master’s graduate in Computer Science or other related disciplines

·     1-2years of experience in Data Engineering

·     Hands-on experience in Azure / GCP/ AWS / Alibaba

·     Hands-on experience in Cloud Data Pipelines/ETL/Python.

·     Hands-on experience in RDBMS/SQL.

·     Knowledge of data architecture, data lakes, ETL/ELT and setting up data/data science solutions on the cloud.

·     Experience in using business intelligence platforms for data visualization, creating and automating dashboards, reports, and data sources.

·     Experience scripting Python/ Java/ Spark/ Scala for data manipulation, analysis, and automation.

·     Ability to easily navigate and adapt quickly and effectively using different tools and technologies.

·     Strong technical analysis skills, with the ability to define a problem, assess it, and propose solutions based on facts/data.

·     Strong team player, highly collaborative, and able to work in teams of global structure with different cultural backgrounds.

What we offer:

·     Competitive package + health and life insurance

·     Challenging and diverse missions with international blue-chip clients across Asia Pacific.

·     Great career perspectives: career growth, client exposure at highest level, best in class methodologies, techniques and technologies, international mobility 

·     Remote working opportunities.

·     19 days annual leave and 2-day optional work from home practice

·     Prime location in Causeway Bay

Ekimetrics is an equal opportunity employer committed to making all employment decisions without regard to race/ethnicity, gender, pregnancy, gender identity or expression, color, creed, religion, national origin, age, disability, marital status (including domestic partnerships and civil unions), sexual orientation, military veteran status, unemployment status, or other legally protected categories, subject to applicable law.